目錄(59章)
倒序
- 封面
- 版權信息
- Credits
- About the Authors
- About the Reviewers
- www.PacktPub.com
- Preface
- Chapter 1. Applying Effects to Images
- Getting started
- Setting up OpenCV
- Storing images in OpenCV
- Linear filters in OpenCV
- Summary
- Chapter 2. Detecting Basic Features in Images
- Creating our application
- Edge and Corner detection
- Hough transformations
- Contours
- Project – detecting a Sudoku puzzle in an image
- Summary
- Chapter 3. Detecting Objects
- What are features?
- Scale Invariant Feature Transform
- Matching features and detecting objects
- Speeded Up Robust Features
- Oriented FAST and Rotated BRIEF
- Binary Robust Invariant Scalable Keypoints
- Fast Retina Keypoint
- Summary
- Chapter 4. Drilling Deeper into Object Detection – Using Cascade Classifiers
- An introduction to cascade classifiers
- Face detection using the cascade classifier
- HOG descriptors
- Project – Happy Camera
- Summary
- Chapter 5. Tracking Objects in Videos
- Optical flow
- Image pyramids
- Basic 2D transformations
- Global motion estimation
- The Kanade-Lucas-Tomasi tracker
- Summary
- Chapter 6. Working with Image Alignment and Stitching
- Image stitching
- Summary
- Chapter 7. Bringing Your Apps to Life with OpenCV Machine Learning
- Optical Character Recognition
- Solving a Sudoku puzzle
- Summary
- Chapter 8. Troubleshooting and Best Practices
- Troubleshooting errors
- Best practices
- Summary
- Chapter 9. Developing a Document Scanning App
- Let's begin
- The algorithm
- Implementing on Android
- Summary
- Index 更新時間：2021-07-16 13:36:58
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